Predição do risco de síndrome metabólica em escolares de seis a 10 anos de idade por meio de curvas de referência de medidas antropométricas e composição corporal

Detalhes bibliográficos
Autor(a) principal: Andaki, Alynne Christian Ribeiro
Data de Publicação: 2013
Tipo de documento: Tese
Idioma: por
Título da fonte: LOCUS Repositório Institucional da UFV
Texto Completo: http://locus.ufv.br/handle/123456789/388
Resumo: Metabolic syndrome (Mets) is a cluster of cardiovascular risk factors and type 2 diabetes. Obese children have shown a higher prevalence of MetS compared to children without overweight. Extensive efforts have been conducted to identify simple criteria for screening children with MetS. The use of anthropometry to predict metabolic changes is justifiable because most disorders that affect children directly influences its structure and body components. Objective: to predict the risk of MetS in schoolchildren fron six to 10 years old by using reference curves of anthropometric and body composition. Secundary Objectives: a) to determine cutoff points of anthropometric measures as predictors of risk of MetS; b) to present the prevalence of MetS and identify associated risk factors; c) to determine the cutoff points of physical activity level and sedentary behavior as predictor of MetS risk; d) to identify lifestyle habits, dietary habits and socioeconomic status of the schoolchildren participating in the study. Methodology: cross- sectional study, population-based, with schoolchildren from six to 10 years old in the city of Uberaba/MG. After approval by the Ethics Committee on Human Research of the Federal University of Viçosa, the school principals were contacted to obtain authorization and scheduling data collections. Students who met the inclusion criteria received the Statement of Consent for the reading and signing of his parents. Anthropometric and blood pressure measurements, application of the Previous Day Food Questionnaires and interview using the Physical Activity List were held at the school. Questionnaire on lifestyle habits and socioeconomic status were answered by the children parents. Blood sample collection was performed in the school day and set times. Results: 1.480 students participated in the study with a mean age of 8.5 ± 1.5 years, which 52.2 % were female. All anthropometric measurements and body composition were tested for statistical significance in predicting the risk of MetS in both sexes. Waist circumference was the most accurate method in predicting the risk of MetS. In girls, BMI followed by measurement alone subscapular skinfold and body fat mass, among boys, the body fat mass, BMI and body fat percentage were accurate in predicting Mets. Sedentary behavior and physical activity levels were not predictive risk of MetS. MetS prevalence was 12.6 % and 8.5 % for girls and boys, respectively, with a statistically significant difference between genders (p < 0.05). In the bivariate analysis was significantly associated with MetS (p &#8804; 0.20): female gender, age, private school education, BMI, overweight/obesity, the three waist circumference measured, evaluated the four skinfolds (biceps, triceps, suprailiac and subscapular), as well as the sum of them, body fat percentage, lean body mass, body fat mass, body fat moderately high, and high, maturity offset, intake over a portion of the day fatty foods. After multivariable analysis private school network, waist circumference measured at the lower curvature of the abdomen, body fat percentage, body fat mass, and eating more than one serving of fatty foods daily were positively associated to MetS ( p &#8804; 0.05). Conclusion: waist circumference was the anthropometric measure of greater accuracy in predicting MetS for both sexes. Sedentary behavior and physical activity were not associated with MS and were not predictors of risk. Interventions aimed at physical activity, weight control, and adopting healthy diet habits such as reducing the intake of fatty foods need to suggest to be part of children s lifestyle.
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spelling Andaki, Alynne Christian Ribeirohttp://lattes.cnpq.br/2055193932036828Longo, Giana Zarbatohttp://lattes.cnpq.br/9611294672834930Amorim, Paulo Roberto dos Santoshttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4784479Z2Tinôco, Adelson Luiz Araújohttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4787553U8Brito, Ciro Joséhttp://lattes.cnpq.br/3124488985626826Oliveira, Tânia Toledo dehttp://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4787758J22015-03-26T12:21:09Z2014-09-112015-03-26T12:21:09Z2013-08-12ANDAKI, Alynne Christian Ribeiro. Prediction of the risk of metabolic syndrome in schoolchildren six until 10 years of age by reference curves of anthropometric measurements and body composition. 2013. 175 f. Tese (Doutorado em Dietética e Qualidade de Alimentos; Saúde e Nutrição de Indivíduos e Populações) - Universidade Federal de Viçosa, Viçosa, 2013.http://locus.ufv.br/handle/123456789/388Metabolic syndrome (Mets) is a cluster of cardiovascular risk factors and type 2 diabetes. Obese children have shown a higher prevalence of MetS compared to children without overweight. Extensive efforts have been conducted to identify simple criteria for screening children with MetS. The use of anthropometry to predict metabolic changes is justifiable because most disorders that affect children directly influences its structure and body components. Objective: to predict the risk of MetS in schoolchildren fron six to 10 years old by using reference curves of anthropometric and body composition. Secundary Objectives: a) to determine cutoff points of anthropometric measures as predictors of risk of MetS; b) to present the prevalence of MetS and identify associated risk factors; c) to determine the cutoff points of physical activity level and sedentary behavior as predictor of MetS risk; d) to identify lifestyle habits, dietary habits and socioeconomic status of the schoolchildren participating in the study. Methodology: cross- sectional study, population-based, with schoolchildren from six to 10 years old in the city of Uberaba/MG. After approval by the Ethics Committee on Human Research of the Federal University of Viçosa, the school principals were contacted to obtain authorization and scheduling data collections. Students who met the inclusion criteria received the Statement of Consent for the reading and signing of his parents. Anthropometric and blood pressure measurements, application of the Previous Day Food Questionnaires and interview using the Physical Activity List were held at the school. Questionnaire on lifestyle habits and socioeconomic status were answered by the children parents. Blood sample collection was performed in the school day and set times. Results: 1.480 students participated in the study with a mean age of 8.5 ± 1.5 years, which 52.2 % were female. All anthropometric measurements and body composition were tested for statistical significance in predicting the risk of MetS in both sexes. Waist circumference was the most accurate method in predicting the risk of MetS. In girls, BMI followed by measurement alone subscapular skinfold and body fat mass, among boys, the body fat mass, BMI and body fat percentage were accurate in predicting Mets. Sedentary behavior and physical activity levels were not predictive risk of MetS. MetS prevalence was 12.6 % and 8.5 % for girls and boys, respectively, with a statistically significant difference between genders (p < 0.05). In the bivariate analysis was significantly associated with MetS (p &#8804; 0.20): female gender, age, private school education, BMI, overweight/obesity, the three waist circumference measured, evaluated the four skinfolds (biceps, triceps, suprailiac and subscapular), as well as the sum of them, body fat percentage, lean body mass, body fat mass, body fat moderately high, and high, maturity offset, intake over a portion of the day fatty foods. After multivariable analysis private school network, waist circumference measured at the lower curvature of the abdomen, body fat percentage, body fat mass, and eating more than one serving of fatty foods daily were positively associated to MetS ( p &#8804; 0.05). Conclusion: waist circumference was the anthropometric measure of greater accuracy in predicting MetS for both sexes. Sedentary behavior and physical activity were not associated with MS and were not predictors of risk. Interventions aimed at physical activity, weight control, and adopting healthy diet habits such as reducing the intake of fatty foods need to suggest to be part of children s lifestyle.Síndrome Metabólica (SM) é caracterizada como conjunto de fatores de risco cardiovasculares e diabetes tipo 2. Crianças obesas tem apresentado maior prevalência de SM em relação às crianças sem excesso de peso. Amplos esforços têm sido conduzidos para identificar critérios simples de triagem em identificar crianças com SM. A utilização da antropometria para a predição de alterações metabólicas é justificável, pois a maioria das desordens que acometem crianças influenciam diretamente sua estrutura e componentes corporais. Objetivo: predizer o risco de síndrome metabólica em escolares de seis a 10 anos de idade por meio de curvas de referência de medidas antropométricas e composição corporal. Objetivos específicos: a) determinar pontos de corte de medidas antropométricas como preditoras de risco de SM; b) apresentar a prevalência SM e identificar fatores de risco associados; c) determinar pontos de corte do nível de atividade física e comportamento sedentário como preditor do risco de SM; d) identificar hábitos de vida, hábitos alimentares e condição socioeconômica dos escolares participantes do estudo. Metodologia: estudo epidemiológico de corte transversal, de base populacional, com escolares de seis a 10 anos de idade do município de Uberaba/MG. Após aprovação do Comitê de Ética em Pesquisa com Seres Humanos da Universidade Federal de Viçosa, os diretores escolares foram contatados a fim de se obter autorização e agendamento das coletas. Os alunos que preencheram os critérios de inclusão receberam o Termo de Consentimento Livre e Esclarecido para o conhecimento e assinatura de seus pais. Avaliação antropométrica, aferição da pressão arterial, aplicação do Questionário Alimentar do Dia Anterior, e entrevista utilizando a Lista de Atividade Física (LAF) foram realizadas na própria escola. Questionário sobre hábitos de vida e condição socioeconômica foi respondido pelos responsáveis. A coleta de sangue foi realizada na escola em dia e horários pré-estabelecidos. Resultados: participaram do estudo 1480 escolares com idade média de 8,5 ± 1,5 anos, 52,2 % foram meninas. Todas as medidas antropométricas e composição corporal foram testadas quanto a significância estatística em predizer o risco de SM em ambos os sexos. O método mais acurado na predição do risco de SM foi o perímetro de cintura. Destaca-se entre as meninas o IMC, seguido da medida isolada da dobra cutânea subescapular e massa corporal gorda, entre os meninos, a massa corporal gorda, IMC e o percentual de gordura corporal. O comportamento sedentário e o nível de atividade física não foram preditores de risco de SM. Prevalência de SM foi de 12,6 % e 8,5 % para meninas e meninos, respectivamente, com diferença estatisticamente significativa entre os sexos (p < 0,05). Foram realizadas análises de associação entre a síndrome metabólica e variáveis independentes. Na análise bivariada apresentou-se significativamente associado a SM (p &#8804; 0,20): sexo feminino, idade, escola da rede particular de ensino, IMC, sobrepeso/obesidade, os três perímetros de cintura mensurados, as quatro dobras cutâneas medidas (biciptal, triciptal, supra-ilíaca e subescapular), bem como o somatório das mesmas, percentual de gordura corporal, massa corporal magra, massa corporal gorda, quantidade de gordura corporal moderadamente alta e alta, maturity offset, ingestão de mais uma porção ao dia de alimentos gordurosos. Após análise multivariáveis, escola da rede de ensino particular, perímetro de cintura mensurado na menor curvatura do abdome, percentual de gordura corporal, massa corporal gorda, e a ingestão de mais de uma porção de alimentos gordurosos ao dia, associaram-se positivamente a SM (p &#8804; 0,05). Conclusão: o perímetro de cintura, para ambos os sexos, foi a medida antropométrica de maior acurácia em predizer SM. O comportamento sedentário e o nível de atividade física não se associaram a SM e não foram preditores de risco. Intervenções direcionadas a prática de atividade física, controle da massa corporal, e adoção de hábitos alimentares saudáveis como a redução da ingestão de alimentos gordurosos precisam fazer parte do estilo de vida destas crianças para minimizar o risco de diagnóstico de SM.Fundação de Amparo a Pesquisa do Estado de Minas Geraisapplication/pdfporUniversidade Federal de ViçosaDoutorado em Ciência da NutriçãoUFVBRDietética e Qualidade de Alimentos; Saúde e Nutrição de Indivíduos e PopulaçõesCrianças - NutriçãoCrianças - AntropometriaSíndrome metábolicaComposição corporalChildren - NutritionChildren - AnthropometryMetabolic syndromeBody compositionCNPQ::CIENCIAS DA SAUDE::NUTRICAOPredição do risco de síndrome metabólica em escolares de seis a 10 anos de idade por meio de curvas de referência de medidas antropométricas e composição corporalPrediction of the risk of metabolic syndrome in schoolchildren six until 10 years of age by reference curves of anthropometric measurements and body compositioninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/openAccessreponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFVORIGINALtexto completo.pdfapplication/pdf3043345https://locus.ufv.br//bitstream/123456789/388/1/texto%20completo.pdfacded1b500585b6485947e547916c9efMD51TEXTtexto completo.pdf.txttexto completo.pdf.txtExtracted texttext/plain268447https://locus.ufv.br//bitstream/123456789/388/2/texto%20completo.pdf.txt5bb4f4fcb7e0a218962bc8629386ee5fMD52THUMBNAILtexto completo.pdf.jpgtexto completo.pdf.jpgIM Thumbnailimage/jpeg3596https://locus.ufv.br//bitstream/123456789/388/3/texto%20completo.pdf.jpg76450170aafc0353085e483159898a16MD53123456789/3882016-04-06 23:07:34.965oai:locus.ufv.br:123456789/388Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452016-04-07T02:07:34LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false
dc.title.por.fl_str_mv Predição do risco de síndrome metabólica em escolares de seis a 10 anos de idade por meio de curvas de referência de medidas antropométricas e composição corporal
dc.title.alternative.eng.fl_str_mv Prediction of the risk of metabolic syndrome in schoolchildren six until 10 years of age by reference curves of anthropometric measurements and body composition
title Predição do risco de síndrome metabólica em escolares de seis a 10 anos de idade por meio de curvas de referência de medidas antropométricas e composição corporal
spellingShingle Predição do risco de síndrome metabólica em escolares de seis a 10 anos de idade por meio de curvas de referência de medidas antropométricas e composição corporal
Andaki, Alynne Christian Ribeiro
Crianças - Nutrição
Crianças - Antropometria
Síndrome metábolica
Composição corporal
Children - Nutrition
Children - Anthropometry
Metabolic syndrome
Body composition
CNPQ::CIENCIAS DA SAUDE::NUTRICAO
title_short Predição do risco de síndrome metabólica em escolares de seis a 10 anos de idade por meio de curvas de referência de medidas antropométricas e composição corporal
title_full Predição do risco de síndrome metabólica em escolares de seis a 10 anos de idade por meio de curvas de referência de medidas antropométricas e composição corporal
title_fullStr Predição do risco de síndrome metabólica em escolares de seis a 10 anos de idade por meio de curvas de referência de medidas antropométricas e composição corporal
title_full_unstemmed Predição do risco de síndrome metabólica em escolares de seis a 10 anos de idade por meio de curvas de referência de medidas antropométricas e composição corporal
title_sort Predição do risco de síndrome metabólica em escolares de seis a 10 anos de idade por meio de curvas de referência de medidas antropométricas e composição corporal
author Andaki, Alynne Christian Ribeiro
author_facet Andaki, Alynne Christian Ribeiro
author_role author
dc.contributor.authorLattes.por.fl_str_mv http://lattes.cnpq.br/2055193932036828
dc.contributor.author.fl_str_mv Andaki, Alynne Christian Ribeiro
dc.contributor.advisor-co1.fl_str_mv Longo, Giana Zarbato
dc.contributor.advisor-co1Lattes.fl_str_mv http://lattes.cnpq.br/9611294672834930
dc.contributor.advisor-co2.fl_str_mv Amorim, Paulo Roberto dos Santos
dc.contributor.advisor-co2Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4784479Z2
dc.contributor.advisor1.fl_str_mv Tinôco, Adelson Luiz Araújo
dc.contributor.advisor1Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4787553U8
dc.contributor.referee1.fl_str_mv Brito, Ciro José
dc.contributor.referee1Lattes.fl_str_mv http://lattes.cnpq.br/3124488985626826
dc.contributor.referee2.fl_str_mv Oliveira, Tânia Toledo de
dc.contributor.referee2Lattes.fl_str_mv http://buscatextual.cnpq.br/buscatextual/visualizacv.do?id=K4787758J2
contributor_str_mv Longo, Giana Zarbato
Amorim, Paulo Roberto dos Santos
Tinôco, Adelson Luiz Araújo
Brito, Ciro José
Oliveira, Tânia Toledo de
dc.subject.por.fl_str_mv Crianças - Nutrição
Crianças - Antropometria
Síndrome metábolica
Composição corporal
topic Crianças - Nutrição
Crianças - Antropometria
Síndrome metábolica
Composição corporal
Children - Nutrition
Children - Anthropometry
Metabolic syndrome
Body composition
CNPQ::CIENCIAS DA SAUDE::NUTRICAO
dc.subject.eng.fl_str_mv Children - Nutrition
Children - Anthropometry
Metabolic syndrome
Body composition
dc.subject.cnpq.fl_str_mv CNPQ::CIENCIAS DA SAUDE::NUTRICAO
description Metabolic syndrome (Mets) is a cluster of cardiovascular risk factors and type 2 diabetes. Obese children have shown a higher prevalence of MetS compared to children without overweight. Extensive efforts have been conducted to identify simple criteria for screening children with MetS. The use of anthropometry to predict metabolic changes is justifiable because most disorders that affect children directly influences its structure and body components. Objective: to predict the risk of MetS in schoolchildren fron six to 10 years old by using reference curves of anthropometric and body composition. Secundary Objectives: a) to determine cutoff points of anthropometric measures as predictors of risk of MetS; b) to present the prevalence of MetS and identify associated risk factors; c) to determine the cutoff points of physical activity level and sedentary behavior as predictor of MetS risk; d) to identify lifestyle habits, dietary habits and socioeconomic status of the schoolchildren participating in the study. Methodology: cross- sectional study, population-based, with schoolchildren from six to 10 years old in the city of Uberaba/MG. After approval by the Ethics Committee on Human Research of the Federal University of Viçosa, the school principals were contacted to obtain authorization and scheduling data collections. Students who met the inclusion criteria received the Statement of Consent for the reading and signing of his parents. Anthropometric and blood pressure measurements, application of the Previous Day Food Questionnaires and interview using the Physical Activity List were held at the school. Questionnaire on lifestyle habits and socioeconomic status were answered by the children parents. Blood sample collection was performed in the school day and set times. Results: 1.480 students participated in the study with a mean age of 8.5 ± 1.5 years, which 52.2 % were female. All anthropometric measurements and body composition were tested for statistical significance in predicting the risk of MetS in both sexes. Waist circumference was the most accurate method in predicting the risk of MetS. In girls, BMI followed by measurement alone subscapular skinfold and body fat mass, among boys, the body fat mass, BMI and body fat percentage were accurate in predicting Mets. Sedentary behavior and physical activity levels were not predictive risk of MetS. MetS prevalence was 12.6 % and 8.5 % for girls and boys, respectively, with a statistically significant difference between genders (p < 0.05). In the bivariate analysis was significantly associated with MetS (p &#8804; 0.20): female gender, age, private school education, BMI, overweight/obesity, the three waist circumference measured, evaluated the four skinfolds (biceps, triceps, suprailiac and subscapular), as well as the sum of them, body fat percentage, lean body mass, body fat mass, body fat moderately high, and high, maturity offset, intake over a portion of the day fatty foods. After multivariable analysis private school network, waist circumference measured at the lower curvature of the abdomen, body fat percentage, body fat mass, and eating more than one serving of fatty foods daily were positively associated to MetS ( p &#8804; 0.05). Conclusion: waist circumference was the anthropometric measure of greater accuracy in predicting MetS for both sexes. Sedentary behavior and physical activity were not associated with MS and were not predictors of risk. Interventions aimed at physical activity, weight control, and adopting healthy diet habits such as reducing the intake of fatty foods need to suggest to be part of children s lifestyle.
publishDate 2013
dc.date.issued.fl_str_mv 2013-08-12
dc.date.available.fl_str_mv 2014-09-11
2015-03-26T12:21:09Z
dc.date.accessioned.fl_str_mv 2015-03-26T12:21:09Z
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dc.identifier.citation.fl_str_mv ANDAKI, Alynne Christian Ribeiro. Prediction of the risk of metabolic syndrome in schoolchildren six until 10 years of age by reference curves of anthropometric measurements and body composition. 2013. 175 f. Tese (Doutorado em Dietética e Qualidade de Alimentos; Saúde e Nutrição de Indivíduos e Populações) - Universidade Federal de Viçosa, Viçosa, 2013.
dc.identifier.uri.fl_str_mv http://locus.ufv.br/handle/123456789/388
identifier_str_mv ANDAKI, Alynne Christian Ribeiro. Prediction of the risk of metabolic syndrome in schoolchildren six until 10 years of age by reference curves of anthropometric measurements and body composition. 2013. 175 f. Tese (Doutorado em Dietética e Qualidade de Alimentos; Saúde e Nutrição de Indivíduos e Populações) - Universidade Federal de Viçosa, Viçosa, 2013.
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